scholarly journals Effects of sea ice and wind speed on Phytoplankton spring bloom in Central and Southern Baltic Sea

2020 ◽  
Author(s):  
Ove Pärn ◽  
Gennadi Lessin ◽  
Adolf Stips
Keyword(s):  
Wind Speed ◽  
Sea Ice ◽  
Baltic Sea ◽  
Phytoplankton Biomass ◽  
Spring Bloom ◽  
Biogeochemical Model ◽  
Southern Baltic Sea ◽  
Ice Conditions ◽  
Southern Baltic ◽  
The Baltic

AbstractIn this study, the effects of sea ice and wind speed on the timing and composition of phytoplankton spring bloom in the central and southern Baltic Sea are investigated by a hydrodynamic–biogeochemical model and observational data. The modelling experiment compared the results of a reference run in the presence of sea ice with those of a run in the absence of sea ice, which confirmed that ecological conditions differed significantly for both the scenarios. It has been found that diatoms dominate the phytoplankton biomass in the absence of sea ice, whereas dinoflagellates dominate the biomass in the presence of thin sea ice. The study concludes that under moderate ice conditions (representing the last few decades), dinoflagellates dominate the spring bloom phytoplankton biomass in the Baltic Sea, whereas diatoms will be dominant in the future as a result of climate change i.e. in the absence of sea ice..

scholarly journals Effects of sea ice and wind speed on phytoplankton spring bloom in central and southern Baltic Sea

PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0242637
Author(s):  
Ove Pärn ◽  
Gennadi Lessin ◽  
Adolf Stips
Keyword(s):  
Wind Speed ◽  
Sea Ice ◽  
Baltic Sea ◽  
Phytoplankton Biomass ◽  
Spring Bloom ◽  
Biogeochemical Model ◽  
Southern Baltic Sea ◽  
Ice Conditions ◽  
Southern Baltic ◽  
The Baltic

In this study, the effects of sea ice and wind speed on the timing and composition of phytoplankton spring bloom in the central and southern Baltic Sea are investigated by a hydrodynamic–biogeochemical model and observational data. The modelling experiment compared the results of a reference run in the presence of sea ice with those of a run in the absence of sea ice, which confirmed that ecological conditions differed significantly for both the scenarios. It has been found that diatoms dominate the phytoplankton biomass in the absence of sea ice, whereas dinoflagellates dominate the biomass in the presence of thin sea ice. The study concludes that under moderate ice conditions (representing the last few decades), dinoflagellates dominate the spring bloom phytoplankton biomass in the Baltic Sea, whereas diatoms will be dominant in the future as a result of climate change i.e. in the absence of sea ice.

Holocene diatom biostratigraphy of the SW Gulf of Gdańsk, Southern Baltic Sea (part III)

2008 ◽  
Vol 37 (4) ◽  
Author(s):  
Małgorzata Leśniewska ◽  
Małgorzata Witak
Keyword(s):  
Baltic Sea ◽  
The South ◽  
Gulf Of Gdańsk ◽  
The Baltic Sea ◽  
Southern Baltic Sea ◽  
Gulf Of Gdansk ◽  
Southern Baltic ◽  
The Baltic ◽  
Palaeoenvironmental Changes

Holocene diatom biostratigraphy of the SW Gulf of Gdańsk, Southern Baltic Sea (part III)The palaeoenvironmental changes of the south-western part of the Gulf of Gdańsk during the last 8,000 years, with reference to the stages of the Baltic Sea, were reconstructed. Diatom analyses of two cores taken from the shallower and deeper parts of the basin enabled the conclusion to be drawn that the microflora studied developed in the three Baltic phases: Mastogloia, Littorina and Post-Littorina. Moreover, the so-called anthropogenic assemblage was observed in subbottom sediments of the study area.

Seasonal variability of phytoplankton in the shallow waters of the southern Baltic Sea

2018 ◽  
Vol 33 (1) ◽  
pp. 9-15
Author(s):  
Iwona Zabroś ◽  
Marlena Mioskowska
Keyword(s):  
Baltic Sea ◽  
Temporal Distribution ◽  
Environmental Parameters ◽  
Spatial And Temporal Variability ◽  
Sample Collection ◽  
The Baltic Sea ◽  
Mean Values ◽  
Southern Baltic Sea ◽  
Southern Baltic ◽  
The Baltic

The Baltic Sea is characterized by a seasonal variation of phytoplankton structure. These organisms are particularly sensitive to changes in various environmental parameters. Cyclic, recurring annually fluctuation of species composition, abundance and biomass of phytoplankton is a consequence of these changes. Spatial and temporal variability of particular groups of phytoplankton is not the same in different areas of the Baltic Sea. The purpose of this work was to determine the spatial and temporal distribution of phytoplankton in three chosen areas of the coastal zone of the southern Baltic Sea (Ustka, Poddąbie and Rowy) in the period of November 2014 - September 2016. Mean values of abundance and biomass of phytoplankton for the surveyed areas were typical for this type of coastal waters. In each of the surveyed areas the same dominat species in terms of the abundance and biomass were observed. A growth of diatoms was recorded only in the area of Ustka, which could have been caused by the inflow of river waters. Seasonal surveys of phytoplankton indicated that in the case of the studies regarding this parameter – taxonomic composition, abundance and biomass in the same surveyed area were similar at the three research stations (e.g. 75-80%), depending on the season of the year. On this basis, it was concluded that, whether carrying out the monitoring of phytoplankton or planned investments, the sample collection frequency had a greater significance than the number of research stations.

Shell Deformations in the Baltic Clam Macoma balthica from Southern Baltic Sea (the Gulf of Gdansk): Hypotheses on Environmental Effects

AMBIO ◽  
2008 ◽  
Vol 37 (2) ◽  
pp. 93-100 ◽  
Author(s):  
Adam Sokołowski ◽  
Krzysztof Pawlikowski ◽  
Maciej Wołowicz ◽  
Pascale Garcia ◽  
Jacek Namieśnik
Keyword(s):  
Baltic Sea ◽  
Environmental Effects ◽  
Macoma Balthica ◽  
Gulf Of Gdańsk ◽  
Southern Baltic Sea ◽  
Gulf Of Gdansk ◽  
Southern Baltic ◽  
The Baltic

scholarly journals Ice and AIS: ship speed data and sea ice forecasts in the Baltic Sea

2014 ◽  
Vol 8 (6) ◽  
pp. 2409-2418 ◽  
Author(s):  
U. Löptien ◽  
L. Axell
Keyword(s):  
Sea Ice ◽  
Baltic Sea ◽  
Automatic Identification ◽  
Identification System ◽  
Random Component ◽  
The Baltic Sea ◽  
Mixed Effect ◽  
Ice Conditions ◽  
The Baltic ◽  
Ship Speed

Abstract. The Baltic Sea is a seasonally ice-covered marginal sea located in a densely populated area in northern Europe. Severe sea ice conditions have the potential to hinder the intense ship traffic considerably. Thus, sea ice fore- and nowcasts are regularly provided by the national weather services. Typically, the forecast comprises several ice properties that are distributed as prognostic variables, but their actual usefulness is difficult to measure, and the ship captains must determine their relative importance and relevance for optimal ship speed and safety ad hoc. The present study provides a more objective approach by comparing the ship speeds, obtained by the automatic identification system (AIS), with the respective forecasted ice conditions. We find that, despite an unavoidable random component, this information is useful to constrain and rate fore- and nowcasts. More precisely, 62–67% of ship speed variations can be explained by the forecasted ice properties when fitting a mixed-effect model. This statistical fit is based on a test region in the Bothnian Sea during the severe winter 2011 and employs 15 to 25 min averages of ship speed.

scholarly journals Ice and AIS: ship speed data and sea ice forecasts in the Baltic Sea

2014 ◽  
Vol 8 (4) ◽  
pp. 3811-3828
Author(s):  
U. Löptien ◽  
L. Axell
Keyword(s):  
Sea Ice ◽  
Baltic Sea ◽  
Automatic Identification ◽  
Identification System ◽  
Random Component ◽  
The Baltic Sea ◽  
Mixed Effect ◽  
Ice Conditions ◽  
The Baltic ◽  
Ship Speed

Abstract. The Baltic Sea is a seasonally ice covered marginal sea located in a densely populated area in northern Europe. Severe sea ice conditions have the potential to hinder the intense ship traffic considerably. Thus, sea ice fore- and nowcasts are regularly provided by the national weather services. Typically, several ice properties are allocated, but their actual usefulness is difficult to measure and the ship captains must determine their relative importance and relevance for optimal ship speed and safety ad hoc. The present study provides a more objective approach by comparing the ship speeds, obtained by the Automatic Identification System (AIS), with the respective forecasted ice conditions. We find that, despite an unavoidable random component, this information is useful to constrain and rate fore- and nowcasts. More precisely, 62–67% of ship speed variations can be explained by the forecasted ice properties when fitting a mixed effect model. This statistical fit is based on a test region in the Bothnian Bay during the severe winter 2011 and employes 15 to 25 min averages of ship speed.

scholarly journals Numerical Simulations of Sea Ice Conditions in the Baltic Sea for 2010–2016 Winters Using the 3D CEMBS Model

2018 ◽  
Vol 25 (3) ◽  
pp. 35-43 ◽  
Author(s):  
Maciej Janecki ◽  
Artur Nowicki ◽  
Alicja Kańska ◽  
Maria Golenko ◽  
Lidia Dzierzbicka-Głowacka
Keyword(s):  
Sea Ice ◽  
Baltic Sea ◽  
Ecosystem Model ◽  
Ice Thickness ◽  
The Baltic Sea ◽  
Current State ◽  
Ice Concentration ◽  
Ice Conditions ◽  
The Baltic ◽  
Modelling Approach

Abstract Sea ice conditions in the Baltic Sea during six latest winters – 2010/2011 to 2015/2016 are analysed using coupled ice–ocean numerical model 3D CEMBS (3D Coupled Ecosystem Model of the Baltic Sea). Simulation results are compared with observations from monitoring stations, ice charts and satellite data. High correlation between model results and observations has been confirmed both in terms of spatial and temporal approach. The analysed period has a high interannual variability of ice extent, the number of ice days and ice thickness. Increasing number of relatively mild winters in the Northern Europe directly associated with climate change results in reduced ice concentration in the Baltic Sea. In this perspective, the implementation and development of the sea ice modelling approach (in addition to standard monitoring techniques) is critical to assess current state of the Baltic Sea environment and predict possible climate related changes in the ecosystem and their influence for human marine–related activities, such as fishery or transportation.

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